Apparatus, method, and computer program for determining normalcy of data of digital twin model

A method for determining whether data of a digital twin model is normal, which is performed by a data normality determination apparatus, comprising:

• setting a reference value for a sensor selected from among a plurality of sensors connected to the digital twin model;
• comparing and analyzing real-time sensor data measured by the selected sensor with the reference value;
• determining whether the real-time sensor data is normal based on a result of the analysis;
• and
• outputting a result of determining whether the real-time sensor data is normal.

A non-transitory computer-readable medium storing a computer program including a sequence of instructions to determine whether data of a digital twin model is normal, which when executed by a computing device, causes the computing device to:

• set a reference value for a sensor selected from among a plurality of sensors connected to the digital twin model;
• compare and analyze real-time sensor data measured by the selected sensor with the reference value;
• determine whether the real-time sensor data is normal based on a result of the analysis;
• and
• output a result of determining whether the real-time sensor data is normal.